Sanem Sarıel

51 papers receiving 468 citations

Peers

Sanem Sarıel
Comparison fields: 5 of 61
  • Computer Networks and Communications 193
  • Artificial Intelligence 185
  • Computer Vision and Pattern Recognition 175
  • Control and Systems Engineering 97
  • Aerospace Engineering 85
Replace Arab Ali Chérif with:
Arab Ali Chérif France
D. Wilkes Canada
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Citations per field
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Citations per year

Countries citing papers authored by Sanem Sarıel

Since Specialization
Citations

This map shows the geographic impact of Sanem Sarıel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sanem Sarıel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanem Sarıel more than expected).

Fields of papers citing papers by Sanem Sarıel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanem Sarıel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sanem Sarıel. The network helps show where Sanem Sarıel may publish in the future.

Co-authorship network of co-authors of Sanem Sarıel

This figure shows the co-authorship network connecting the top 25 collaborators of Sanem Sarıel. A scholar is included among the top collaborators of Sanem Sarıel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanem Sarıel. Sanem Sarıel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 13
5 1
6 2
7 1
8
Scene Interpretation for Self-Aware Cognitive Robots
14
9
Probabilistic Failure Isolation for Cognitive Robots
3
10
Learning Guided Planning for Robust Task Execution in Cognitive Robotics
8
11
A Robust Planning Framework for Cognitive Robots
10
12
Dynamic temporal planning for multirobot systems
7
13 1
14 8
15 2
16
Efficient Bids on Task Allocation for Multi-Robot Exploration.
18
17
Distributed Multi-AUV Coordination in Naval Mine Countermeasure Missions
20
18
A Model for User Profiling Systems with Interacting Agents
2
19 25
20
Classification and indexing of paintings based on art movements
18

About Sanem Sarıel

Sanem Sarıel is a scholar working on Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 506 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (17 papers), Logic, Reasoning, and Knowledge (13 papers) and Multi-Agent Systems and Negotiation (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Computer Networks and Communications (193 citations) and Artificial Intelligence (185 citations). Sanem Sarıel has collaborated with scholars based in Türkiye, United States and Sweden. Frequent co-authors include Tucker Balch, Nadia Erdoğan, Bilge Günsel, Erhan Öztop, J.R. Stack, Hülya Yalçın, Eren Erdal Aksoy, Gökhan İnce, Esin Ergen and Gürşans Güven. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Systems Man and Cybernetics Systems and Robotics and Autonomous Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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